Learning Classifier Systems [chapter]

2008 Using Artificial Intelligence in Chemistry and Biology  
Learning Classifier Systems use reinforcement learning, evolutionary computing and/or heuristics to develop adaptive systems. This paper extends the ZCS Learning Classifier System to improve its internal modelling capabilities. Initially, results are presented which show performance in a traditional reinforcement learning task incorporating lookahead within the rule structure. Then a mechanism for effective learning without external reward is examined which enables the simple learning system to
more » ... build a full map of the task. That is, ZCS is shown to learn under a latent learning scenario using the lookahead scheme. Its ability to form maps in reinforcement learning tasks is then considered.
doi:10.1201/9780849384141.ch9 fatcat:6zbqx7caynh4nfatqjqzyt7omy